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http://dx.doi.org/10.7746/jkros.2015.10.2.104

UGR Detection and Tracking in Aerial Images from UFR for Remote Control  

Kim, Seung-Hun (Intelligent Robotics Research Center, Korea Electronics Technology Institute)
Jung, Il-Kyun (Intelligent Robotics Research Center, Korea Electronics Technology Institute)
Publication Information
The Journal of Korea Robotics Society / v.10, no.2, 2015 , pp. 104-111 More about this Journal
Abstract
In this paper, we proposed visual information to provide a highly maneuverable system for a tele-operator. The visual information image is bird's eye view from UFR(Unmanned Flying Robot) shows around UGR(Unmanned Ground Robot). We need UGV detection and tracking method for UFR following UGR always. The proposed system uses TLD(Tracking Learning Detection) method to rapidly and robustly estimate the motion of the new detected UGR between consecutive frames. The TLD system trains an on-line UGR detector for the tracked UGR. The proposed system uses the extended Kalman filter in order to enhance the performance of the tracker. As a result, we provided the tele-operator with the visual information for convenient control.
Keywords
Unmanned Flying Robot; Unmanned Ground Robot; Tracking-Learning-Detection;
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Times Cited By KSCI : 2  (Citation Analysis)
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